--- library_name: peft license: apache-2.0 base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 tags: - generated_from_trainer model-index: - name: tinyllama-1.1b-sft-test3 results: [] --- # tinyllama-1.1b-sft-test3 This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.2259 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0003 - train_batch_size: 16 - eval_batch_size: 10 - seed: 4234 - optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.03 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 0.3312 | 0.0778 | 20 | 0.2974 | | 0.3523 | 0.1556 | 40 | 0.2538 | | 0.2853 | 0.2335 | 60 | 0.2694 | | 0.2953 | 0.3113 | 80 | 0.2519 | | 0.3104 | 0.3891 | 100 | 0.2379 | | 0.3664 | 0.4669 | 120 | 0.2325 | | 0.3484 | 0.5447 | 140 | 0.2302 | | 0.2604 | 0.6226 | 160 | 0.2322 | | 0.3282 | 0.7004 | 180 | 0.2232 | | 0.2788 | 0.7782 | 200 | 0.2250 | | 0.2589 | 0.8560 | 220 | 0.2260 | | 0.2551 | 0.9339 | 240 | 0.2259 | ### Framework versions - PEFT 0.15.2 - Transformers 4.51.3 - Pytorch 2.7.0+cu128 - Datasets 3.5.0 - Tokenizers 0.21.1